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MR-proADM has a good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia: Beware of some potential confounders!

Detalles Bibliográficos
Autores principales: Honore, Patrick M., Redant, Sebastien, Moorthamers, Sofie, Preseau, Thierry, Kaefer, Keitiane, Barreto Gutierrez, Leonel, Attou, Rachid, Gallerani, Andrea, De Bels, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8530787/
https://www.ncbi.nlm.nih.gov/pubmed/34690034
http://dx.doi.org/10.1016/j.jcrc.2021.10.007
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author Honore, Patrick M.
Redant, Sebastien
Moorthamers, Sofie
Preseau, Thierry
Kaefer, Keitiane
Barreto Gutierrez, Leonel
Attou, Rachid
Gallerani, Andrea
De Bels, David
author_facet Honore, Patrick M.
Redant, Sebastien
Moorthamers, Sofie
Preseau, Thierry
Kaefer, Keitiane
Barreto Gutierrez, Leonel
Attou, Rachid
Gallerani, Andrea
De Bels, David
author_sort Honore, Patrick M.
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spelling pubmed-85307872021-10-22 MR-proADM has a good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia: Beware of some potential confounders! Honore, Patrick M. Redant, Sebastien Moorthamers, Sofie Preseau, Thierry Kaefer, Keitiane Barreto Gutierrez, Leonel Attou, Rachid Gallerani, Andrea De Bels, David J Crit Care Article Elsevier Inc. 2022-02 2021-10-22 /pmc/articles/PMC8530787/ /pubmed/34690034 http://dx.doi.org/10.1016/j.jcrc.2021.10.007 Text en © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Honore, Patrick M.
Redant, Sebastien
Moorthamers, Sofie
Preseau, Thierry
Kaefer, Keitiane
Barreto Gutierrez, Leonel
Attou, Rachid
Gallerani, Andrea
De Bels, David
MR-proADM has a good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia: Beware of some potential confounders!
title MR-proADM has a good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia: Beware of some potential confounders!
title_full MR-proADM has a good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia: Beware of some potential confounders!
title_fullStr MR-proADM has a good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia: Beware of some potential confounders!
title_full_unstemmed MR-proADM has a good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia: Beware of some potential confounders!
title_short MR-proADM has a good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia: Beware of some potential confounders!
title_sort mr-proadm has a good ability to predict 28-day mortality in critically ill patients with sars-cov-2 pneumonia: beware of some potential confounders!
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8530787/
https://www.ncbi.nlm.nih.gov/pubmed/34690034
http://dx.doi.org/10.1016/j.jcrc.2021.10.007
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